samsung SM-S938U1
Geekbench AI Score
653
Single Precision Score
27521
Half Precision Score
61902
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 08:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U1 |
| Model ID | samsung SM-S938U1 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
462
86.0 IPS |
|
|
Image Classification (HP)
|
100% |
21566
4.01 KIPS |
|
|
Image Classification (Q)
|
97% |
49535
9.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
13684
221.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
42610
692.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
693
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
123707
144.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
477562
559.0 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
100% |
18943
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
21813
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
950
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
43126
512.4 IPS |
|
|
Face Detection (Q)
|
97% |
151255
1.80 KIPS |
|
|
Depth Estimation (SP)
|
100% |
882
6.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
84400
650.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
145600
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
1431
1.84 IPS |
|
|
Style Transfer (HP)
|
98% |
98900
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
491411
633.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53619
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134717
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
497
663.2 IPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
8014
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4776
82.3 IPS |
|
|
Machine Translation (Q)
|
56% |
3216
82.9 IPS |
